级配参数对沥青稳定碎石疲劳性能的影响分析
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摘要
沥青稳定碎石基层疲劳性能直接影响柔性路面的使用寿命。为分析集料级配对沥青稳定碎石疲劳性能的影响,基于ATB-25和ATB-30两种类型的9种不同级配的沥青稳定碎石疲劳试验数据,利用灰关联分析方法分析了不同集料级配参数对沥青稳定碎石疲劳性能影响的显著程度。通过回归分析的统计学方法,分别建立灰关联分析方法得到的关键因素与沥青稳定碎石疲劳性能代表值之间的回归曲线关系。结果表明:在最佳沥青用量条件下,沥青稳定碎石混合料的2.36 mm筛孔通过率、4.75 mm筛孔通过率、0.30～1.18 mm及0～0.30 mm筛孔区间集料质量分数是影响沥青稳定碎石疲劳性能的4个关键因素,当2.36 mm筛孔通过率为27%,4.75 mm筛孔通过率为34%,0～0.30 mm筛孔区间集料质量分数为11%,0.30～1.18 mm筛孔区间集料质量分数为9%时,沥青稳定碎石混合料疲劳性能最佳。
The fatigue performance of asphalt stabilized macadam directly affects the service life of flexible pavement. Based on the fatigue test data of 9 grades of asphalt stabilized macadam about ATB-25 and ATB-30,the influence of different aggregate gradation parameters on the fatigue performance of asphalt stabilized macadam was analyzed by grey relational analysis,in order to get the impact analysis of the different aggregate gradation parameters on the fatigue properties of asphalt stabilized macadam. Through the statistical method of regression analysis,the regression curves between the key factors obtained by grey correlation analysis method and the representative values of fatigue performance of asphalt stabilized macadam were established. The results show that the mixture passing rate of 2. 36 mm sieve and 4. 75 mm sieve,the aggregate mass fraction of 0.30 ～ 1.18 mm and the 0 ～ 0.30 mm sieve interval are the four key factors that affect the fatigue performance of asphalt stabilized macadam in the optimum asphalt aggregate ratio conditions. And the asphalt stabilized macadam mixture has the best fatigue performance under these conditions: the mixture passing rate of 2. 36 mm sieve is27%,the mixture passing rate of 4.75 mm sieve is 34%,the aggregate mass fraction of 0 ～ 0.30 mm sieve interval is 11%,the aggregate mass fraction of 0.30 ～ 1.18 mm sieve interval is 9%.
The fatigue performance of asphalt stabilized macadam directly affects the service life of flexible pavement. Based on the fatigue test data of 9 grades of asphalt stabilized macadam about ATB-25 and ATB-30,the influence of different aggregate gradation parameters on the fatigue performance of asphalt stabilized macadam was analyzed by grey relational analysis,in order to get the impact analysis of the different aggregate gradation parameters on the fatigue properties of asphalt stabilized macadam. Through the statistical method of regression analysis,the regression curves between the key factors obtained by grey correlation analysis method and the representative values of fatigue performance of asphalt stabilized macadam were established. The results show that the mixture passing rate of 2. 36 mm sieve and 4. 75 mm sieve,the aggregate mass fraction of 0.30 ～ 1.18 mm and the 0 ～ 0.30 mm sieve interval are the four key factors that affect the fatigue performance of asphalt stabilized macadam in the optimum asphalt aggregate ratio conditions. And the asphalt stabilized macadam mixture has the best fatigue performance under these conditions: the mixture passing rate of 2. 36 mm sieve is27%,the mixture passing rate of 4.75 mm sieve is 34%,the aggregate mass fraction of 0 ～ 0.30 mm sieve interval is 11%,the aggregate mass fraction of 0.30 ～ 1.18 mm sieve interval is 9%.
引文
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[7]朱洪洲,徐松,唐伯明,等.沥青稳定碎石高温稳定性影响因素的灰熵分析[J].合肥工业大学学报(自然科学版),2009,32(7):1081-1085.ZHU Hongzhou,XU Song,TANG Boming,et al. Research on high temperature stability of asphalt treated base by the grey correlation entropy method[J]. Journal of Hefei University of Technology(Natural Science),2009,32(7):1081-1085.
[8]朱洪洲,唐伯明,高爽,等.沥青稳定基层ATB25混合料疲劳试验研究[J].重庆交通大学学报(自然科学版),2008,27(6):1067-1070.ZHU Hongzhou,TANG Boming,GAO Shuang,et al. Experimental research on fatigue performance of asphalt-treated base ATB25mixtures[J]. Journal of Chongqing Jiaotong University(Natural Science),2008,27(6):1067-1070.
[9]邓聚龙.灰色系统基本方法[M].武汉:华中理工大学出版社,1986:49-54.DENG Julong. Basic Method of Grey System[M]. Wuhan:Huazhong University of Science and Engineering Press,1986:49-54.
[10]谢松云,董大群,王本刚.基于灰关联分析的目标识别方法研究[J].系统仿真学报,2002,14(2):257-261.XIE Songyun,DONG Daqun,WANG Bengang. A new approach to target recognition based on gray correlation analysis[J]. Journal of Systems Simulation,2002,14(2):257-261.
[11]颜可珍,蒋智禹,林峰.沥青混合料低温性能影响因素的灰关联分析[J].广西大学学报(自然科学版),2012,37(1):115-119.YAN Kezhen,JIANG Zhiyu,LIN Feng. Grey relation analysis of influence factors on low temperature performance of asphalt[J]. Journal of Guangxi University(Natural Science Edition),2012,37(1):115-119.
[12]李艳春,孟岩,周骊巍,等.沥青混合料空隙率影响因素的灰关联分析[J].中国公路学报,2007,20(1):30-34.LI Yanchun,MENG Yan,ZHOU Liwei,et al. Grey relational degree analysis of influence factors on asphalt mixtures voids[J]. China Journal of Highway and Transport,2007,20(1):30-34.
[2]郭德栋,许宏妹,李小刚,等.级配类型对纤维沥青混合料路用性能的影响[J].广西大学学报(自然科学版),2010,35(1):116-119.GUO Dedong, XU Hongmei, LI Xiaogang, et al. Influence of gradation types on pavement performance of fibers-reinforced asphalt mixture[J]. Journal of Guangxi University(Natural Science Edition),2010,35(1):117-119.
[3]徐松,唐伯明,朱洪洲,等.基于灰熵法的沥青稳定碎石水稳定性影响因素分析[J].重庆交通大学学报(自然科学版),2008,27(6):1077-1080.XU Song,TANG Boming,ZHU Hongzhou,et al. Analysis of factors influencing moisture stability of bituminous stabilized macadam based on grey correlation entropy method[J]. Journal of Chongqing Jiaotong University(Natural Science),2008,27(6):1077-1080.
[4]朱福,战高峰,佴磊.ATB-25沥青混合料级配分形与马歇尔性能指标的相关性[J].公路交通科技,2013,30(3):1-6.ZHU Fu,ZHAN Gaofeng,NAI Lei. Relativity between gradation fractal and Marshall performance indexes of ATB-25 asphalt mixture[J]. Journal of Highway and Transportation Research and Development,2013,30(3):1-6.
[5]袁玲,魏汝明,黄兴,等.ATB-25混合料级配优化设计与路用性能研究[J].公路,2014(3):133-138.YUAN Ling, WEI Ruming, HUANG Xing, et al. Optimization design and road performance research on gradation of ATB-25mixture[J]. Highway,2014(3):133-138.
[6]朱洪洲,何兆益,黄晓明,等.沥青稳定基层混合料疲劳性能试验研究[J].公路交通科技,2007,24(4):7-10.ZHU Hongzhou,HE Zhaoyi,HUANG Xiaoming,et al. Experimental research on fatigue performance of asphalt-treared base mixtures[J]. Journal of Highway and Transportation Research and Development,2007,24(4):7-10.
[7]朱洪洲,徐松,唐伯明,等.沥青稳定碎石高温稳定性影响因素的灰熵分析[J].合肥工业大学学报(自然科学版),2009,32(7):1081-1085.ZHU Hongzhou,XU Song,TANG Boming,et al. Research on high temperature stability of asphalt treated base by the grey correlation entropy method[J]. Journal of Hefei University of Technology(Natural Science),2009,32(7):1081-1085.
[8]朱洪洲,唐伯明,高爽,等.沥青稳定基层ATB25混合料疲劳试验研究[J].重庆交通大学学报(自然科学版),2008,27(6):1067-1070.ZHU Hongzhou,TANG Boming,GAO Shuang,et al. Experimental research on fatigue performance of asphalt-treated base ATB25mixtures[J]. Journal of Chongqing Jiaotong University(Natural Science),2008,27(6):1067-1070.
[9]邓聚龙.灰色系统基本方法[M].武汉:华中理工大学出版社,1986:49-54.DENG Julong. Basic Method of Grey System[M]. Wuhan:Huazhong University of Science and Engineering Press,1986:49-54.
[10]谢松云,董大群,王本刚.基于灰关联分析的目标识别方法研究[J].系统仿真学报,2002,14(2):257-261.XIE Songyun,DONG Daqun,WANG Bengang. A new approach to target recognition based on gray correlation analysis[J]. Journal of Systems Simulation,2002,14(2):257-261.
[11]颜可珍,蒋智禹,林峰.沥青混合料低温性能影响因素的灰关联分析[J].广西大学学报(自然科学版),2012,37(1):115-119.YAN Kezhen,JIANG Zhiyu,LIN Feng. Grey relation analysis of influence factors on low temperature performance of asphalt[J]. Journal of Guangxi University(Natural Science Edition),2012,37(1):115-119.
[12]李艳春,孟岩,周骊巍,等.沥青混合料空隙率影响因素的灰关联分析[J].中国公路学报,2007,20(1):30-34.LI Yanchun,MENG Yan,ZHOU Liwei,et al. Grey relational degree analysis of influence factors on asphalt mixtures voids[J]. China Journal of Highway and Transport,2007,20(1):30-34.